{"id":"W3174478205","doi":"","title":"An Overview of the Interests and Thoughts of the Rural Left Behind Group in China","year":2015,"lang":"en","type":"article","venue":"Studies in sociology of science","topic":"Regional Development and Environment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Left behind; China; Rural area; Economic growth; Scale (ratio); Social group; Political science; Sociology; Geography; Economics; Psychology; Social science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001084702,0.0003291326,0.0002504247,0.002079906,0.003613899,0.001914028,0.0003969896,0.000964312,0.002387938],"category_scores_gemma":[0.000539647,0.0001558517,0.0002212539,0.003708301,0.001821675,0.002038156,0.001058788,0.001117131,0.0002200316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003639117,"about_ca_system_score_gemma":0.004444563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03937177,"about_ca_topic_score_gemma":0.04909362,"domain_scores_codex":[0.9996164,0.0001255721,0.00002608645,0.000048552,0.00008032969,0.0001030565],"domain_scores_gemma":[0.9997023,0.00009232727,0.00004122591,0.000007301421,0.00006013113,0.00009670474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001277974,0.0001833832,0.07202137,0.005014681,0.00005597632,0.003409118,0.3116389,0.0006039698,0.004330365,0.1672378,0.09824065,0.337136],"study_design_scores_gemma":[0.000006380736,0.0001399266,0.118057,0.001941058,0.00003603485,0.0009061702,0.1011058,0.0002944088,0.0003861486,0.007336741,0.7697156,0.00007466901],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2732182,0.5485102,0.001090293,0.08063363,0.003582752,0.0001121674,0.000383814,0.00004883176,0.09242021],"genre_scores_gemma":[0.5825149,0.3723623,0.0009668811,0.00877372,0.002033996,0.00006729553,0.0002975877,0.00002136316,0.03296205],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03937177,"threshold_uncertainty_score":0.07828522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1412911141713397,"score_gpt":0.4149759747466694,"score_spread":0.2736848605753298,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}